Principal component analysis and its generalizations for any type of sequence (PCA-Seq)
Author(s) -
В. М. Ефимов,
Kirill Efimov,
V. Yu. Kovaleva
Publication year - 2020
Publication title -
vavilov journal of genetics and breeding
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.188
H-Index - 7
eISSN - 2500-0462
pISSN - 2500-3259
DOI - 10.18699/vj19.584
Subject(s) - sequence (biology) , singular spectrum analysis , series (stratigraphy) , principal component analysis , algorithm , euclidean distance , mathematics , matrix (chemical analysis) , orthogonal matrix , attractor , time series , singular value decomposition , orthogonal basis , mathematical analysis , geometry , statistics , paleontology , genetics , materials science , physics , quantum mechanics , composite material , biology
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